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NIMG-59. ADVERSE EFFECTS OF IMAGE TILING FOR AUTOMATIC DEEP LEARNING GLIOMA SEGMENTATION IN MRI
BACKGROUND: Application of deep learning to neuro-oncology has shown promising clinically relevant results for tumor classification, localization, and segmentation. Hardware limitations, typically memory size of graphics cards, prevent magnetic resonance imaging (MRI) volumes from being processed as...
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| Publicado en: | Neuro Oncol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6847269/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noz175.728 |
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